A new link prediction algorithm (ZHA), based on comprehensive influence of predicting nodes and neighbor nodes to improve the accuracy and applicability of link prediction for complex networks, was proposed. Taking the comprehensive influence of predicting nodes and neighbor nodes into account, the new algorithm was constructed on the basis of the information of nodes in complex networks. ZHA was applied to seven real complex networks, and the random experiment was performed 10 times and 100 times, respectively, to identify its applicability and precision. Comparing the precision of ZHA with classical similarity link prediction algorithms, results showed that the new algorithm ZHA had higher precision. On the foundation of the experiments, the relationship between the accuracy of link prediction and experiment times was analyzed, and the principle of how to select experiment times was given.

中文翻译：

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基于预测节点和邻居节点综合影响的复杂网络链路预测算法设计

提出了一种基于预测节点和邻居节点综合影响的链路预测算法（ZHA），以提高复杂网络链路预测的准确性和适用性。考虑到预测节点和邻居节点的综合影响，基于复杂网络中节点的信息构建了新算法。ZHA应用于7个真实复杂网络，分别进行10次和100次随机实验，以验证其适用性和精度。将ZHA的精度与经典的相似链接预测算法进行比较，结果表明新算法ZHA具有更高的精度。在实验的基础上，分析了链路预测精度与实验次数的关系，